2020 ACF Regionals at Toronto

January 25, 2020


McGill A

1Toronto EW240145922012.00916017.78
3McMaster AW2601101122013.001116014.55
4Waterloo AL205265832010.25814017.50
5Toronto AL205290912010.25912013.33
6Toronto DL16024086208.00811013.75
7Toronto BL2602701122013.001116014.55
8Western AW3901001502019.501524016.00
9Queen's AW2551901032012.751017017.00
10Toronto FW3351101332016.751322016.92
11Toronto CW3002101002015.001020020.00

Henry Atkins1020038100.003.801.000.003.8019%33033.00
Minh-Huy Phung1020029100.002.901.000.002.9015%24024.00
Sheena Li102001610.001.600.100.0016.008%15515.50
Simone Valade102002110.002.100.100.0021.0011%20520.50


McMaster A

1Toronto AL19529081209.75812015.00
2Toronto CL6533031203.2534013.33
3McGill AL11026052205.5057014.00
5Toronto FW2651801112013.251116014.55
6Toronto EL12523573206.2577010.00
7Toronto DW2301751002011.501013013.00
8Waterloo AW2551801212012.751214011.67
9Toronto BL18527581209.25811013.75
10Western AL19522091209.75911012.22
11Queen's AL16023580208.0088010.00

Adrian Wong102002930.002.900.300.009.6715%27527.50
Emmet Blanchett102003940.003.900.400.009.7520%37037.00
Tomas Jakovac102001340.001.300.400.003.257%11011.00


Queen's A

1Toronto BL18019092209.00910011.11
2Waterloo AL19021584209.50813016.25
3Western AW18014594209.00911012.22
4Toronto FW18518085218.81813016.25
5Toronto DL210290942010.50914015.56
7Toronto CL13528077206.75710014.29
8Toronto AL16033580208.0088010.00
9McGill AL19025592209.50911012.22
10Toronto EW2601951122013.001116014.55
11McMaster AW2351601032011.751015015.00

Andrew McCowan81602280.002.751.000.002.7514%18022.50
Jack Van Nostrand816124130.003.001.630.001.8515%17521.88
Jonah Moore918125100.002.781.110.002.5014%20022.22
Kevin Lei81611520.001.880.250.007.509%14017.50
Rachel Bentley7141200.000.290.000.000.001%202.86


Toronto A

1McMaster AW2901951142014.501120018.18
2Toronto EW425901612021.251627016.88
3Toronto DW3601351542018.001523015.33
4Toronto BW3751251332018.751326020.00
5McGill AW2902051122014.501119017.27
6Waterloo AW2901551122014.501119017.27
7Western AW475501612023.751632020.00
8Queen's AW3351601232016.751223019.17
9Toronto FW440701622022.001629018.13
10Toronto CW2802201042014.001020020.00

Chris Sims102004080.004.000.800.005.0020%36036.00
Rein Otsason1020049140.004.901.400.003.5025%42042.00
Ryan Hamilton102001710.001.700.100.0017.009%16516.50
Zhenglin Liu102002530.002.500.300.008.3313%23523.50


Toronto B

1Queen's AW19018074209.50714020.00
2Western AW19017592209.50911012.22
3Toronto FW3851051412019.251425017.86
4Toronto AL12537561206.2567011.67
6Toronto CL215225912010.75913014.44
7McGill AW270260942013.50920022.22
8Toronto EW395451612019.751624015.00
9McMaster AW2751851132013.751118016.36
10Toronto DW2552101012012.751016016.00
11Waterloo AW2402101022012.001015015.00

Josh Lane102001940.001.900.400.004.7510%17017.00
Raymond Chen102002340.002.300.400.005.7512%21021.00
Sam Hauer102003360.003.300.600.005.5017%30030.00
Sky Li102002660.002.600.600.004.3313%23023.00


Toronto C

1Toronto DW4001051522020.001526017.33
2McMaster AW330651322016.501321016.15
3Waterloo AW2601701022013.001017017.00
4Western AW2901651322014.501317013.08
5Toronto EW3151801312015.751319014.62
6Toronto BW2252151032011.251014014.00
7Queen's AW2801351222014.001217014.17
8Toronto FW345351412017.251421015.00
10Toronto AL220280922011.00914015.56
11McGill AL2103001022010.501012012.00

Colin Veevers102006570.006.500.700.009.2933%61561.50
Paul Kasinski1020054120.005.401.200.004.5027%48048.00


Toronto D

1Toronto CL10540051205.2556012.00
2Toronto FW2451001052012.251017017.00
3Toronto AL13536051206.7559018.00
4Toronto EL12027574206.0077010.00
5Queen's AW2902101102014.501118016.36
6McGill AW2401601022012.001015015.00
7McMaster AL17523093208.75910011.11
9Waterloo AL195225101209.751010010.00
10Toronto BL210255902010.50912013.33
11Western AW2151451132010.751112010.91

Lucas Smith102004670.004.600.700.006.5723%42542.50
Wentao Cui102002180.002.100.800.002.6311%17017.00
Wenying Wu102002050.002.000.500.004.0010%17517.50


Toronto E

1McGill AL14524083207.2588010.00
2Toronto AL9042542204.5046015.00
4Toronto DW2751201212013.751216013.33
5Toronto CL18031572209.00712017.14
6McMaster AW2351251032011.751015015.00
7Waterloo AL15528575207.75711015.71
8Toronto BL4539533202.2533010.00
9Western AL10527551205.2556012.00
10Queen's AL19526071209.75713018.57
11Toronto FL13521063206.7569015.00

Ian Chow101862550.002.500.500.005.0013%22522.50
Malhaar Moharir102001280.001.200.800.001.506%808.00
Marcus Forbes-Green102001440.001.400.400.003.507%12012.00
Samir Mechel81601870.002.250.880.002.5711%14518.13


Toronto F

1Waterloo AL16024082208.0089011.25
2Toronto DL10024554205.0057014.00
3Toronto BL10538551205.2556012.00
4Queen's AL18018594218.57911012.22
5McMaster AL18026582209.00811013.75
6Western AL16520583208.25810012.50
8Toronto CL3534543201.754102.50
9Toronto AL7044030203.5034013.33
10McGill AL11033552205.5057014.00
11Toronto EW210135922010.50913014.44

Angus Paterson102012460.002.400.600.004.0012%21021.00
Jacky Liu102011770.001.700.700.002.438%13513.50
Kevin Downey1020123100.002.301.000.002.3011%18018.00


Waterloo A

1Toronto FW2401601122012.001114012.73
2Queen's AW215190912010.75913014.44
3Toronto CL17026082208.50810012.50
4McGill AW2652051112013.251116014.55
5Western AW2701751142013.501118016.36
6Toronto AL15529073207.75710014.29
7Toronto EW2851551212014.251217014.17
8McMaster AL18025570209.00711015.71
9Toronto DW2251951032011.251014014.00
11Toronto BL210240802010.50813016.25

Lauren Hankins10200120.000.100.200.000.501%00.00
Nicholas Sunderland102002440.002.400.400.006.0012%22022.00
Peter Wang102004980.004.900.800.006.1325%45045.00
Thomas Mennill102002030.002.000.300.006.6710%18518.50


Western Ontario A

2Toronto BL17519081208.75810012.50
3Queen's AL14518071207.2578011.43
4Toronto CL16529071208.25710014.29
5Waterloo AL17527081208.75810012.50
6Toronto FW2051651012010.251011011.00
7Toronto AL5047542202.504205.00
8McGill AL10039052205.0056012.00
9Toronto EW2751051412013.751414010.00
10McMaster AW220195922011.00914015.56
11Toronto DL14521581207.258708.75

Peter Cordeiro102002440.002.400.400.006.0012%22022.00
Tony Chen102005690.005.600.900.006.2228%51551.50